Projects

DeepSAM: Machine Learning under Symmetries with Applications in Astronomy and Medicine

While at vastly different scales and proportions, many scientific fields face similar problems. One such problem, shared by both astronomy and …

Diffusion models for protein design

Generative deep learning has transformed protein design, enabling the creation of new protein structures, interactions, and functions with high precision, by …

CompIF: Efficient computation of intermolecular forces for biomolecular simulations

Molecular simulations enable the structure, dynamics, and interactions of biomolecules to be explored in detail. Trajectories (or movies) of the evolution …

Organic Materials by Geometrical Design

Many functional organic materials are ordered periodic systems that can be classified according to their symmetry group, tessellation class, etc.In …

Geometry and Representation Learning

In recent years, interest in hyperbolic geometry has grown in the fields of data science and machine learning for representation learning …

Does the quality of writing influence the impact of scientific papers?

The importance and quality of a new discovery presented in a scientific article is often evaluated by the number of its …

Emulation in simulation

“Emulation in simulation” combines HITS’ expertise in computational statistics and numerical simulation to develop a new generation of surrogate model tools. …

DeepCurate

DeepCurate is a project using machine learning to transfer life science research results from the specialist literature into a structured, machine-readable …